Empirical evaluation of hyper-parameter optimization techniques for deep learning-based malware detectors

• Main Authors: SHAR, Lwin Khin, TA, Nguyen Binh Duong, YEO, Yao Cong, FAN, Jiani
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Malware detection; Hyper-parameter tuning; Bayesian optimization; Deep learning; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/9797
• Institution: Singapore Management University

In machine learning, hyper-parameter optimization (HPO) aims to tune the set of parameters that controls the learning process. HPO could be time-consuming and resource-intensive due to the huge parameter search space and the complexity of models such as deep neural networks. Many of the existing HPO...